Adattudós L&D-s beütéssel - We-Learning podcast

What this episode covers

A We-Learning Podcast legújabb adásában Szabolcs Péter, a MOL senior data scientist-je volt a vendégünk, aki nem L&D szakemberként egy komoly képzési programot, igazából egy tanulási keretrendszert állított össze kollégáinak. 📊 Péter elmesélte, hogy ❓ Miért fontosak az adatalapú készségek minden vállalati dolgozó számára? 🌟 Milyen előnyöket kínál az adatvezérelt gondolkodás, és miért szükséges a folyamatos tanulás az iparág gyors fejlődése miatt? 🚫 Hogyan kerülhetjük el az adat-analfabétizmus veszélyét és miért fontos az adatvizualizáció kulcsszerepe? 🎯 Milyen célok vezették Pétert a képzési keretrendszer összeállításakor? 📈 Hogyan segítette a keretrendszer a kollégák szakmai fejlődését? 📊 Milyen módszerekkel mérték fel a csapattagok készségeit és fejlesztési igényeit? 🧩 Hogyan működött a 70-20-10 modell ebben a konkrét programban a tanulás és fejlődés elősegítése érdekében? 📚 Milyen források és anyagok szerepeltek a tréning menüben, és miért voltak ezek hatékonyak? ⏱️ Hogyan segíti a tanulásra fordított idő a csapatok fejlődését és az üzleti célok elérését? 🤝 Miért tekinthető a tanulás és fejlődés win-win szituációnak a cégek és a munkavállalók számára?

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How long is this episode of We-Learning podcast?

This episode is 40 minutes long.

When was this We-Learning podcast episode published?

This episode was published on July 10, 2024.

What is this episode about?

A We-Learning Podcast legújabb adásában Szabolcs Péter, a MOL senior data scientist-je volt a vendégünk, aki nem L&D szakemberként egy komoly képzési programot, igazából egy tanulási keretrendszert állított össze kollégáinak. 📊 Péter elmesélte,...

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